Learn Windows Terminal Navigation with Python

⚙️ Python Automation: Process Checker ```python import os process = "nginx" output = os.popen("ps aux").read() if process in output: print("Process Running") else: print("Process Not Found") ``` 💡 Use case: ✔ Check critical services #Python #Linux

If you're not using virtual environments in Python… you're making a big mistake. Here’s why they matter Problem: Different projects need different package versions → This creates conflicts (and headaches) Solution: Virtual Environments They let you: → Isolate dependencies per project → Avoid version conflicts → Keep your system clean How to use: → Create Virtual Environment python -m venv myvenv → Activate Virtual Environment in (Windows) myvenv\Scripts\activate → Activate Virtual Environment in (Mac/Linux) source myvenv/bin/activate → Install packages pip install <package_name> → Deactivate Virtual Environment deactivate Simple habit. Huge impact #Interview_Question: What is a virtual environment, and why is it created? →In Python, a venv (Virtual Environment) is an isolated folder that stores specific Python libraries and versions for a particular project. It is distinct from the main system's Python installation, thereby preventing package version conflicts and providing an independent environment for projects. Do you use virtual environments in your projects? #Python #VirtualEnv #BackendDevelopment #Coding #Developers #Backend #Python #FastAPI #Flask #Django

Why Every Python Developer Should Use Virtual Environments If you're still installing Python packages globally, you're likely creating dependency conflicts without realizing it. Virtual environments (venv) provide a clean and isolated workspace for each project. Why it matters: Avoid version conflicts between projects Keep your global Python installation clean Easily reproduce environments across teams Safely experiment with new libraries Quick setup: python -m venv myenv source myenv/bin/activate # Mac/Linux myenv\Scripts\activate # Windows pip install -r requirements.txt Each project gets its own environment, which makes your development workflow more predictable and maintainable. Pro tip: Always include a requirements.txt or pyproject.toml file so others can replicate your setup. Virtual environments are a foundational best practice in Python development. #Python #SoftwareDevelopment #BackendDevelopment #DevOps #Programming

A good free and practical course covering how OpenTelemetry works, how to collect metrics, logs, and traces from Java and Python applications, and how to integrate with tools such as Jaeger and Prometheus.

💻 I Spent 2 Hours Debugging… for a 2-Minute Fix While practicing Python on Linux, I ran into a simple issue: My script just wouldn’t run. No output. No clear error. After trying multiple things, I finally found the problem 👇 👉 I was running the file incorrectly in the terminal 👉 And missed checking the Python version. Fix: ✔️ Used python3 file.py instead of python file.py ✔️ Verified with python3 --version Simple mistake. But it cost me 2 hours. What I learned: Small details matter a lot in tech Always check basics before overthinking Debugging is where real understanding happens Moments like these can feel frustrating, but they’re also the ones that stick the most. Curious—what’s a “simple mistake” that cost you hours? #Python #Linux #Debugging #DevOps #LearningJourney #TechLearning #Beginners

🚀 Day 25/30 – Virtual Environments & pip in Python Today, I learned how to manage Python projects more professionally. 📌 Virtual Environment (venv) Creates an isolated environment for each project. This avoids conflicts between different project dependencies. 📌 pip Python’s package manager used to install, update, and manage libraries. Example: Bash python -m venv myenv source myenv/bin/activate # (Windows: myenv\Scripts\activate) pip install requests 💡 Key Takeaway: Virtual environments keep projects clean, and pip helps use powerful external libraries easily. This is how real-world Python development is managed. Day 25 complete ✅ #Python #30DaysChallenge #LearningInPublic #ProgrammingJourney #Consistency #TechGrowth

Did you know you can comment out an entire block of code in R with a simple shortcut? This is super useful when testing or debugging parts of your script. Select the code and press: 🔹 Ctrl + Shift + C (Windows/Linux) 🔹 Cmd + Shift + C (Mac) The same shortcut also uncomments code, making it easy to toggle between active and inactive sections. Check out this tutorial for more details: https://lnkd.in/ezWsUg5f Stay updated on R, Python, and data science. Join my newsletter for hands-on tutorials and useful insights. See this link for additional information: https://lnkd.in/dcyXHzap #RStats #datastructure #R #DataScience

RISWIS Applied semantic winner ≠ policy winner Ran on a fresh Windows machine (PowerShell, Python 3.12) Clone → install → run. No setup issues. Validation: ✅ general phrasing → no flip ✅ trust-sensitive phrasing → rank flip Behavior: ✅ system does not force overrides ✅ makes ranking changes visible Observed runs: ✅ same query family → different outcomes ✅ ranking changes only when weighting actually matters GitHub below. #RAG #LLM #AIEngineering #MLOps

As someone who writes in multiple languages, it can be challenging to switch between languages. I have been writing in R for about a year and a half. Coupled with a move from Windows OS to MacOS, it has been an adjustment period. I am currently making a career switch and needed a reminder of the basics for python, my second favourite language (SQL is the best). This is one of the best refresher courses I have ever had. “Python Essential Training” by Ryan Mitchell! Check it out: https://lnkd.in/eth3SRFV #python. Code Challenges provided by CoderPad. https://lnkd.in/e6A_b94R

Why Rust? I get this question a lot. Not "why not Python?" or "why not Go?", but specifically: why does Rust exist, and why should you care? Here's the honest answer: Every major language before Rust made a tradeoff you didn't get to opt out of: • C and C++ gave you raw speed, but also memory bugs that have cost billions in security vulnerabilities. • Java and Python gave you safety, but only by adding a garbage collector that pauses your program and uses more memory. • Go made GC fast and simple, but you still don't control when it runs. Rust breaks this tradeoff entirely. It gives you memory safety, no dangling pointers, no use-after-free, no data races ,and it does it at compile time, with zero runtime cost. No GC. No runtime overhead. The compiler just refuses to compile code that would be unsafe. That's it. This is why Rust is showing up in Linux kernels, Windows drivers, web browsers, and embedded firmware. Not for hype. Because nothing else does what it does. Week 1 of the Rust Book series. We start where it matters -the why. What made you curious about Rust? #rustlang #systemsprogramming #memorysafety #programming #rust #systemdesign #softwareengineering #backendengineering #rust #systemsthinking #distributedsystems #scalability #webdevelopment #programming #100daysofcode #techcareers #buildinpublic #devlife #codeeveryday #computerscience #opensource #asyncrust #lowlatency